Deep Learning with Yacine on MSN

Master masked self-attention in Python – step-by-step from scratch!

Learn how masked self-attention works by building it step by step in Python—a clear and practical introduction to a core ...
eLife

Separating selection from mutation in antibody language models

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
IEEE

Fuzzy Transformer Machine Learning for UWB NLOS Identification and Ranging Mitigation

Abstract: Ultrawideband (UWB) is a high-precision positioning and navigation technology, it faces significant challenges due to the abundance of non-line-of-sight (NLOS) conditions in complex indoor ...
Hosted on MSN

Self-attention in transformers simplified for deep learning

We dive deep into the concept of Self Attention in Transformers! Self attention is a key mechanism that allows models like BERT and GPT to capture long-range dependencies within text, making them ...
IEEE

Multi-Agent Transformer-Based Workload Allocation and Worker Selection in Distributed Coded Machine Learning

Abstract: Machine learning (ML) has been used in a wide range of applications. In recent years, the growing complexity of ML models has led to substantial computational demands. Distributed Machine ...
Microsoft

Accurate and scalable exchange-correlation with deep learning

Density Functional Theory (DFT) is the most widely used electronic structure method for predicting the properties of molecules and materials. Although DFT is, in principle, an exact reformulation of ...